Improved Protein Structure Prediction Using a New Multi-Scale Network and Homologous Templates.
Sign Up to like & getrecommendations! Published in 2021 at "Advanced science"
DOI: 10.1002/advs.202102592
Abstract: The accuracy of de novo protein structure prediction has been improved considerably in recent years, mostly due to the introduction of deep learning techniques. In this work, trRosettaX, an improved version of trRosetta for protein… read more here.
Keywords: network; protein structure; scale network; multi scale ... See more keywords
The impact of AlphaFold Protein Structure Database on the fields of life sciences.
Sign Up to like & getrecommendations! Published in 2022 at "Proteomics"
DOI: 10.1002/pmic.202200128
Abstract: Arguably, 2020 was the year of high-accuracy protein structure predictions, with AlphaFold 2.0 achieving previously unseen accuracy in the Critical Assessment of Protein Structure Prediction (CASP). In 2021, DeepMind and EMBL-EBI developed the AlphaFold Protein… read more here.
Keywords: protein structure; structure database; alphafold protein; protein ... See more keywords
Bridging protein structure, dynamics, and function using hydrogen/deuterium‐exchange mass spectrometry
Sign Up to like & getrecommendations! Published in 2019 at "Protein Science"
DOI: 10.1002/pro.3790
Abstract: Much of our understanding of protein structure and mechanistic function has been derived from static high‐resolution structures. As structural biology has continued to evolve it has become clear that high‐resolution structures alone are unable to… read more here.
Keywords: protein; protein structure; hydrogen deuterium; function ... See more keywords
Protein Structure Modeling with MODELLER.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-0892-0_14
Abstract: Genome sequencing projects have resulted in a rapid increase in the number of known protein sequences. In contrast, only about one-hundredth of these sequences have been characterized at atomic resolution using experimental structure determination methods.… read more here.
Keywords: protein; modeling modeller; protein structure; structure modeling ... See more keywords
Computational Methods for the Elucidation of Protein Structure and Interactions.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1406-8_2
Abstract: Biologists are increasingly aware of the importance of protein structure in revealing function. The computational tools now exist which allow researchers to model unknown proteins simply on the basis of their primary sequence. However, for… read more here.
Keywords: methods elucidation; elucidation protein; protein structure; computational methods ... See more keywords
The deleterious impact of a non-synonymous SNP on protein structure and function is apparent in hypertension
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Molecular Modeling"
DOI: 10.1007/s00894-021-04997-6
Abstract: Essential hypertension (EH) is a significant health issue around the globe. The indifferent therapy regimen suggests varied physiological functions due to the lifestyle and genetic presentations of an individual. The endothelial nitric oxide synthase (NOS3)… read more here.
Keywords: protein structure; study; function; structure function ... See more keywords
Implicit Hydration Modelling in Small-Angle X-Ray Scattering for Protein Structure Determination
Sign Up to like & getrecommendations! Published in 2017 at "Biophysical Journal"
DOI: 10.1016/j.bpj.2016.11.1589
Abstract: Small angle X-ray scattering (SAXS) data are being increasingly used in structure modeling of biomacromolecular systems such as proteins. While some great progresses have been made in modelling theoretical scattering intensity from a given structure,… read more here.
Keywords: protein structure; intensity; implicit hydration; structure ... See more keywords
Machine learning in protein structure prediction.
Sign Up to like & getrecommendations! Published in 2021 at "Current opinion in chemical biology"
DOI: 10.1016/j.cbpa.2021.04.005
Abstract: Prediction of protein structure from sequence has been intensely studied for many decades, owing to the problem's importance and its uniquely well-defined physical and computational bases. While progress has historically ebbed and flowed, the past… read more here.
Keywords: machine learning; protein structure; learning protein; structure ... See more keywords
Protein Structure from Experimental Evolution.
Sign Up to like & getrecommendations! Published in 2019 at "Cell systems"
DOI: 10.1016/j.cels.2019.11.008
Abstract: Natural evolution encodes rich information about the structure and function of biomolecules in the genetic record. Previously, statistical analysis of co-variation patterns in natural protein families has enabled the accurate computation of 3D structures. Here,… read more here.
Keywords: information; evolution; protein structure; experimental evolution ... See more keywords
Parallel Chemoselective Profiling for Mapping Protein Structure.
Sign Up to like & getrecommendations! Published in 2020 at "Cell chemical biology"
DOI: 10.1016/j.chembiol.2020.06.014
Abstract: Solution-based structural techniques complement high-resolution structural data by providing insight into the oft-missed links between protein structure and dynamics. Here, we present Parallel Chemoselective Profiling, a solution-based structural method for characterizing protein structure and dynamics.… read more here.
Keywords: protein; protein structure; chemoselective profiling; structure dynamics ... See more keywords
Protein structure prediction from inaccurate and sparse NMR data using an enhanced genetic algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Computational biology and chemistry"
DOI: 10.1016/j.compbiolchem.2019.01.004
Abstract: Nuclear Magnetic Resonance Spectroscopy (most commonly known as NMR Spectroscopy) is used to generate approximate and partial distances between pairs of atoms of the native structure of a protein. To predict protein structure from these… read more here.
Keywords: protein structure; genetic algorithm; geometry; spectroscopy ... See more keywords